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data scientist

SLICIT

<div>
 Technology
 
 
 Dubai, UAE (Hybrid Work Model)
 
 
 Please note that, due to operational and logistical considerations, we do not currently accommodate relocation packages and foreign visas.
 
 
 Apply Now
 
 
 
 Role Summary
 
 
 
 SLICIT is on the forefront of integrating Web 3.0 technologies into the asset management and fintech sectors.
 
 
 We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain, tokenization, NFTs, and other Web 3.0 concepts.
 
 
 Your role will be instrumental in driving innovation through data-driven insights, particularly in optimizing asset management strategies, exploring fintech opportunities, and leveraging real-world assets through digital transformation.
 
 
 This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management, fintech, and the burgeoning field of digital assets.
 
 
 
 Reporting To
 
 
 
 Chief Technology Officer
 
 
 
 Employment Type
 
 
 
 Full-Time
 
 
 
 Essential Qualifications And Skills
 
 
 
 <ul>
 <li>
 Machine Learning and AI Expertise: The ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning (ML) and artificial intelligence (AI), with a particular emphasis on applications within the financial sector. You should have hands-on experience designing, implementing, and validating a wide range of ML models, from traditional algorithms like Linear Regression, Decision Trees, and Clustering, to more advanced techniques including Neural Networks, Natural Language Processing (NLP), and Reinforcement Learning.
 </li>
 <li>
 Knowledge of Tools and Frameworks:
 </li>
 <li>
 Proficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications.
 </li>
 <li>
 Experience with NLP tools like NLTK or spaCy to derive insights from textual data, which is particularly relevant in analyzing market sentiment or financial news.
 </li>
 <li>
 Familiarity with reinforcement learning frameworks such as OpenAI Gym, which can be applied to develop sophisticated trading algorithms that adapt and learn from the market&rsquo;s dynamics.
 </li>
 <li>
 A track record of employing AI-driven analytics to forecast market trends, optimize investment portfolios, or enhance customer personalization and engagement in fintech solutions.
 </li>
 <li>
 Demonstrated Impact: Evidence of past projects where your ML and AI expertise directly contributed to significant business outcomes, such as improved investment returns, risk reduction, operational efficiencies, or customer satisfaction enhancements. The ability to quantify the impact of your work (e.g., percentage increase in investment performance, reduction in risk exposure) will be highly valued.
 </li>
 <li>
 Programming and Data Manipulation Proficiency: Adeptness in programming and data manipulation, critical for analysing complex datasets and developing scalable solutions.
 </li>
 <li>
 Core Programming Languages: Proficiency in Python is essential, given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn. Expertise in R is also valuable, particularly for statistical analysis and visualization. Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databases.
 </li>
 <li>
 Data Manipulation Tools and Techniques: Candidates should demonstrate expertise in handling large datasets, employing techniques and tools for data cleaning, transformation, and aggregation. Experience with Python libraries such as NumPy and Pandas, or R packages like dplyr and tidyr, is expected.
 </li>
 <li>
 Version Control and Collaboration: Familiarity with version control systems, notably Git, is necessary for efficient collaboration within a team. This includes managing code repositories, branching, merging, and handling pull requests in platforms like GitHub or GitLab.
 </li>
 <li>
 Advanced Analytical and Statistical Skills: Expertise in statistical analysis, predictive modeling, and data mining, with a proven track record of leveraging these skills to drive business decisions.
 </li>
 <li>
 Education: A Master&rsquo;s or PhD in Data Science, Computer Science, Mathematics, Statistics, or related field, with ideally coursework or projects focused on finance, blockchain, or digital assets.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Programming and Data Manipulation Proficiency in Scala or Java would be a plus, tailored towards data science applications in finance and asset management.
 </li>
 <li>
 Big Data Technologies: Familiarity with big data frameworks and cloud computing environments, enhancing data processing and analysis capabilities.
 </li>
 <li>
 Deep Learning Proficiency: Knowledge of deep learning applications in finance, such as predictive analytics for market trends or customer behaviour analysis.
 </li>
 <li>
 Data Visualisation Skills: Competence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholders.
 </li>
 <li>
 Business Experience and Industry Knowledge: Some experience in asset management, fintech, or related sectors, with a keen understanding of market dynamics, regulatory environments, and the potential of digital transformation through Web 3.0 technologies.
 </li>
 <li>
 Blockchain and Web 3.0 Technologies: Deep understanding of blockchain fundamentals, smart contracts, tokenization of assets, NFTs, and their implications for asset management and fintech is a big advantage. Experience with platforms such as Ethereum, Hedera Hashgraph, and Polygon. In particular:
 </li>
 <li>
 Fundamental Blockchain Concepts: Candidates should have a solid grasp of key blockchain principles, including decentralized ledgers, consensus mechanisms, smart contracts, and cryptographic protocols. This knowledge is vital for analysing blockchain data and understanding the underlying technology of digital assets and transactions.
 </li>
 <li>
 Blockchain Platforms and Tools: Experience with major blockchain platforms such as Ethereum, for smart contract development, and ideally familiarity with newer platforms like Hedera Hashgraph, Polygon or Polymesh.
 </li>
 <li>
 Smart Contracts and DApps Development: While primarily a data-focused role, understanding the development and deployment of smart contracts and decentralized applications (DApps) can provide valuable insights into data sources and potential applications of blockchain in asset management and fintech. Knowledge of Solidity (for Ethereum) or other smart contract languages is a plus.
 </li>
 <li>
 Blockchain in Finance: Specific experience in applying blockchain technology to solve problems in finance, such as through tokenization of assets, implementation of NFTs for unique asset representation, or enhancing the security and efficiency of transactions.
 </li>
 <li>
 Industry Certifications: Certifications related to blockchain technology, data science, or finance, showcasing a commitment to ongoing professional development.
 
 
 </li>
 </ul>
 
 Remuneration Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Reflective of the expertise and strategic importance you bring to the team.
 </li>
 <li>
 Comprehensive Benefits Package: Premium health insurance, retirement planning options, and generous vacation policies.
 </li>
 <li>
 Professional Development: Commitment to your growth through conferences, workshops, and certifications in emerging technologies and financial analysis.
 </li>
 <li>
 Innovative Work Culture: Be part of a dynamic team pushing the boundaries of technology in asset management and fintech.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Are you excited by the challenge of transforming the asset management and fintech landscapes through Web 3.0 technologies? If you have a solid foundation in data science, your next career milestone awaits with us.
 
 
 Interested candidates should submit their resume, a comprehensive cover letter detailing your relevant experience, along with any notable projects, , and why you&rsquo;re a fit for SLICIT, to careers@slicit.com with the subject line &ldquo;Data Scientist Application&rdquo;.
 
 
 Apply Now
</div>

Data Scientist

Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU)

<div>
 
 Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU; www.mbru.ac.ae) is part of Dubai Health, the first integrated academic health system in the UAE. Dubai Health seeks to strengthen Dubai as a global leader in health care, medical education, research, and scientific innovation, to enhance the capabilities of Dubai&rsquo;s healthcare sector. Dubai Health is managing and operating 54 sites, including 6 government hospitals, 26 ambulatory health centers, 20 medical fitness centers, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), and Al Jalila Foundation. HBMCDM offers
 
 three-year Master of Science /Residency programs
 
 , open to all nationalities, with English as the language of instruction. The college is affiliated with the Dental Hospital and other Dubai Health dental facilities, where students receive their clinical training.
 
 
 HBMCDM works in close partnership with Dubai Health dental facilities, forming an integrated Oral Health Ecosystem that connects clinical care, education, research, and community engagement.
 
 
 
 
 
 
 Position description:
 
 
 
 This is a
 
 technical, hands-on role
 
 focused on data engineering, analytics, modeling, and visualization. The post holder will work closely with clinicians, educators, researchers, and system leaders to translate data into actionable insights.
 
 
 
 
 
 Salary, rank, and tenure will be
 
 commensurate with experience and qualifications
 
 .
 
 
 
 
 
 
 Essential Selection Criteria:
 
 
 <ul>
 <li>
 Master&rsquo;s degree (or higher) in:
 </li>
 <li>
 Data Science
 </li>
 <li>
 Statistics
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Biomedical / Health Informatics
 </li>
 <li>
 Applied Mathematics or related discipline
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis and modeling.
 </li>
 <li>
 Advanced
 
 SQL
 
 skills and experience working with relational databases.
 </li>
 <li>
 Solid grounding in
 
 statistics and machine learning
 
 (e.g., regression, classification, clustering, time-series analysis).
 </li>
 <li>
 Experience with
 
 data visualization and dashboards
 
 (e.g., Power BI, Tableau, or equivalent).
 </li>
 <li>
 Ability to build
 
 reproducible analytical workflows
 
 (version control, documentation, testing).
 </li>
 <li>
 3&ndash;6 years&rsquo; experience in a data science, analytics, or applied research role.
 </li>
 <li>
 Experience working with
 
 complex, real-world datasets
 
 (healthcare, education, or research data preferred).
 </li>
 <li>
 Demonstrated ability to translate stakeholder questions into analytical solutions.
 </li>
 </ul>
 
 
 
 
 
 Desirable Attributes:
 
 
 <ul>
 <li>
 Experience working with
 
 health or clinical data
 
 (EHRs, outcomes data, registries).
 </li>
 <li>
 Familiarity with
 
 data governance, privacy, and confidentiality
 
 in regulated environments.
 </li>
 <li>
 Exposure to:
 </li>
 <li>
 Predictive modeling and forecasting
 </li>
 <li>
 Optimization or operational analytics
 </li>
 <li>
 Text, imaging, or omics data (advantageous but not required)
 </li>
 <li>
 Experience supporting
 
 research projects
 
 , publications, or grant-funded studies.
 </li>
 <li>
 Familiarity with cloud-based analytics platforms (e.g., Azure, AWS, GCP).
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain analytics pipelines for clinical, education, and research datasets.
 </li>
 <li>
 Build dashboards and visualizations to support operational, academic, and research decision-making.
 </li>
 <li>
 Perform statistical analyses and machine learning to identify trends, patterns, and opportunities for improvement.
 </li>
 <li>
 Work closely with clinicians, faculty, and administrators to understand analytical needs.
 </li>
 <li>
 Support research projects with data preparation, analysis, and publication-ready outputs.
 </li>
 <li>
 Contribute to cross-functional analytics initiatives within the Oral Health Ecosystem.
 </li>
 <li>
 Ensure data accuracy, consistency, and documentation.
 </li>
 <li>
 Apply best practices in data security, privacy, and ethical use of health data.
 </li>
 <li>
 Support institutional standards for reproducible and auditable analytics.
 </li>
 <li>
 Contribute to departmental initiatives, working groups, and task forces as required.
 </li>
 <li>
 Engage in continuous professional development to stay current with data science best practices.
 </li>
 </ul>
 
 
 
 
 
 Application Process
 
 
 
 Interested candidates should submit:
 
 <ul>
 <li>
 A full curriculum vitae.
 </li>
 <li>
 A cover letter addressing the selection criteria.
 </li>
 <li>
 Contact details for at least three referees.
 </li>
 </ul>
 
 
 
 
 Apply via Interfolio: https://apply.interfolio.com/181502
 
 
 
</div>

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Senior Data Scientist &ndash; Dubai (FinTech)
 
 
 
 We&rsquo;re working with a high-growth fintech in Dubai that&rsquo;s building out a genuinely strong data science function.
 
 
 
 
 
 They&rsquo;re looking for a
 
 Senior Data Scientist
 
 with a solid grounding in
 
 traditional machine learning
 
 and a
 
 research-driven mindset
 
 to help push their models and products to the next level.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 &bull; Developing and deploying ML models across core business products
 
 
 &bull; Working closely with engineering and product teams on end-to-end solutions
 
 
 &bull; Applying rigorous experimentation and research approaches to improve performance
 
 
 &bull; Tackling real-world financial data problems at scale
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 &bull; 6+ years in Data Science / Machine Learning
 
 
 &bull; Strong experience with traditional ML (not purely LLM-focused)
 
 
 &bull; Background in research, experimentation, or advanced modelling
 
 
 &bull; Experience in fintech, banking, or other data-heavy environments is a plus
 
 
 &bull; Strong coding skills (Python, etc.)
 
 
 
</div>

Senior Data Scientist

Majid Al Futtaim

<div>
 
 
 ROLE SUMMARY
 
 
 
 The Data Scientist will support analytics and data science initiatives across Customer Solutions use cases such as personalization, marketing effectiveness, and fintech/fraud. The role involves data preparation, analysis, feature engineering, experimentation, and supporting ML models in production. Working closely with senior data scientists and cross‑functional teams, the role contributes to customer‑focused, commercially driven data solutions.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Support analytics and data science initiatives across Customer Solutions use cases including personalization, marketing effectiveness, and fintech/fraud
 </li>
 <li>
 Perform data preparation, exploratory analysis, and feature engineering using Python and SQL
 </li>
 <li>
 Continuously learn modern data science tools, techniques, and best practices while supporting customer‑focused solutions
 </li>
 <li>
 Support monitoring, reporting, and performance tracking of models and experiments in production
 </li>
 <li>
 Work closely with senior data scientists to document workflows, models, and analytical outputs
 </li>
 <li>
 Collaborate with Product, Engineering, and Data Engineering teams to understand data and business requirements
 </li>
 <li>
 Contribute to A/B testing design, analysis, and interpretation of results
 </li>
 <li>
 Assist in building, testing, and evaluating machine learning and analytical models
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Degree in computer science, mathematics, statistics, economics, or a related technical discipline
 </li>
 <li>
 1&ndash;3 years of experience in data analytics, data science, or a related analytical role, with strong fresh graduates considered
 </li>
 <li>
 Strong foundation in Python for data analysis and SQL for querying and analysing datasets
 </li>
 <li>
 Ability to analyse data, generate insights, and communicate findings clearly to stakeholders
 </li>
 <li>
 Basic understanding of statistics, machine learning concepts, and analytical techniques
 </li>
 <li>
 Exposure or willingness to learn tools and concepts such as ML libraries, experimentation, cloud platforms, or data visualization
 </li>
 </ul>
</div>

Data Scientist | Emirati Talent

Hays

<div>
 
 
 Senior Financial Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Financial Data Scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Staff Data Scientist I &ndash; Matching, you will own the end-to-end matching and dispatch architecture for Careem&rsquo;s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.
 
 
 This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.
 
 
 
 
 What You'll Do
 
 
 
 
 
 1. Matching &amp; Dispatch Architecture Ownership
 
 
 
 <ul>
 <li>
 Design and own the end-to-end matching and dispatch systems for Food &amp; Groceries.
 </li>
 <li>
 Architect scalable assignment frameworks incorporating:
 </li>
 <ul>
 <li>
 Static and dynamic assignment
 </li>
 <li>
 Online matching under uncertainty
 </li>
 <li>
 Batch and pooling optimization
 </li>
 <li>
 Continuous re-optimization with dynamic events
 </li>
 </ul>
 <li>
 Establish robust optimization standards and best practices across the organization.
 
 
 </li>
 </ul>
 
 2. Multi-Objective Optimization &amp; Algorithm Development
 
 
 
 <ul>
 <li>
 Formulate and implement multi-objective optimization models balancing:
 </li>
 <ul>
 <li>
 Cost minimization
 </li>
 <li>
 SLA compliance
 </li>
 <li>
 Marketplace efficiency
 </li>
 </ul>
 <li>
 Develop and deploy:
 </li>
 <ul>
 <li>
 Min-cost flow and assignment models
 </li>
 <li>
 Graph-based optimization frameworks
 </li>
 <li>
 Custom solvers and OR-Tools based solutions
 </li>
 </ul>
 <li>
 Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
 </li>
 <li>
 Continuously refine matching quality under high-scale marketplace conditions.
 
 
 </li>
 </ul>
 
 3. Real-Time Systems &amp; Production Delivery
 
 
 
 <ul>
 <li>
 Build production-grade real-time matching systems using Python, Spark, and Trino.
 </li>
 <li>
 Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
 </li>
 <li>
 Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
 </li>
 <li>
 Lead performance monitoring, diagnostics, and system optimization.
 
 
 </li>
 </ul>
 
 4. Experimentation &amp; Impact Measurement
 
 
 
 <ul>
 <li>
 Define evaluation metrics aligned with marketplace and operational objectives.
 </li>
 <li>
 Design and run controlled experiments to quantify matching improvements.
 </li>
 <li>
 Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
 </li>
 <li>
 Ensure decisions translate into measurable improvements in efficiency and SLA performance.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 6&ndash;8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
 </li>
 <li>
 Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Optimization and assignment algorithms
 </li>
 <li>
 Graph modeling and min-cost flow problems
 </li>
 <li>
 Multi-objective optimization
 </li>
 <li>
 Dynamic and online decision systems
 </li>
 </ul>
 <li>
 Hands-on experience with OR-Tools or custom optimization solvers.
 </li>
 <li>
 Proficiency in Python, SQL, Spark, and distributed data systems.
 </li>
 <li>
 Experience building real-time or near-real-time decision systems.
 </li>
 <li>
 Strong understanding of experimentation and performance evaluation in marketplace systems.
 </li>
 <li>
 Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;ll provide you
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - Matching

Al-Futtaim

<div>Job Requisition ID: 177293
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 


Overview of the role : 


Al Futtaim is looking for a Senior Data Scientist to join our team in Dubai, part of a team sitting at the cornerstone of algorithms, mathematics and engineering, a team that is tasked with solving problems by designing and implementing production-ready data science algorithms and machine learning models to manage Risk and help Al Futtaim maintain the advantage in the market. 


What you will do : 


The senior data scientist is responsible for the development and management of the inhouse predictive and forecasting models that help Al Futtaim manage the Risk and its competitiveness in the market. Also, will be responsible for monitoring and reporting Risk exposures in the UAE as well as International Markets.
<ul><li>Responsible for the development of the predictive and forecasting models (RV, Equity Mining, SMR, etc.)</li><li>Responsible for the full model cycle from experimentation to deployment (ML-Flow), model calibrations to accommodate any drifts and define the post modeling adjustments (PMA) to optimize performance.</li><li>Responsible of the Regional and International Asset Risk Monitoring.</li><li>Calculate RV Provisions, identify hand-backs as well as their rates, and quantify features impact.</li><li>Conduct statistical and quantitative analyses to identify and quantify potential risks. Prepare RV Risk recommendations highlighting the risks and proposing mitigations</li><li>Design and develop risk measures, methodologies, and models (RV &amp; SMR Risk)</li><li>Define the pull-forward (or backward) strategy to optimize the trade cycle.</li><li>Quantify the features importance in Time-to-fail and Mileage-to-fail</li><li>Develop other predictive and analytical models using the appropriate methodologies</li><li>Recommending actions based on your insights by effectively telling the story that is supported by data through presentations, data visualizations and clear and concise verbal and written communication skills</li><li>Building relationships with key stakeholders across Al Futtaim such as IT, Finance, Remarketing, Sales etc.</li><li>Coordinating with various stakeholders to help implement recommended actions</li><li>Guiding/mentoring other data scientists/analysts on best practices for analysis and data storytelling</li></ul> 


Required Skills to be successful : 

<ul><li>Planning, organizing and time management</li></ul>
Must be capable of developing related operational plans as well as detailed project level plans. Must display sound independent time management skills by delivering activity within prescribed timeframes through the effective prioritization of actions across multiple operations and projects
<ul><li>Communication</li></ul>
Must possess good written and verbal communication skills and be able to effectively communicate with and present to both internal and external stakeholders across all business levels.
<ul><li>Teamwork</li></ul>
Must be an excellent team player, able to establish strong working relationships with stakeholders, colleagues, and business partners. 


What equips you for the role: 

<ul><li>Experience in financial services. Preferably in the Automotive or Captive Finance industries.</li><li>Experience in Data Science (Machine Learning, NLP, Neural Nets, Time-Series Forecasting, etc.). Supervised and un-supervised learning methods for inference on data patterns.</li><li>Strong statistics knowledge and quantitative problem-solving skills</li><li>Proficiency with open-source ML frameworks (scikit-learn, tensorflow, RF, xgboost, MLFlow etc.)</li><li>Excellent Python, R and SQL programming skills. Familiarity with Azure Databricks is a plus.</li><li>Advanced level of MS-Office required. Data visualization tools Power BI, Tableau or Qlik is preferred</li><li>BSc or MSc degree in Statistics, Mathematics, Actuarial, Engineering, or a closely related discipline.</li><li>Full proficiency in English (mandatory)</li></ul>
About Al-Futtaim Group Real Estate 
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years. 
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us. 
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
About Al-Futtaim Malls 
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. 
 
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</div>

UAE national

Explore 1044+ Data scientist in Dubai this April. Find roles across top companies and apply now to boost your career.

1044 data scientist jobs In Dubai

Data Scientist

Data Scientist

Senior Data Scientist

Data Scientist | Emirati Talent

Senior Financial Data Scientist

Staff Data Scientist I - Matching

UAE national